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@inproceedings{DBLP:conf/sigir/Callan94,
author = {James P. Callan},
editor = {W. Bruce Croft and
C. J. van Rijsbergen},
title = {Passage-Level Evidence in Document Retrieval},
booktitle = {Proceedings of the 17th Annual International ACM-SIGIR Conference
on Research and Development in Information Retrieval. Dublin,
Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum)},
publisher = {ACM/Springer},
year = {1994},
isbn = {3-540-19889-X},
pages = {302-310},
ee = {db/conf/sigir/Callan94.html},
crossref = {DBLP:conf/sigir/94},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
The increasing lengths of documents in full-text collections encourages renewed interest in the ranking and retrieval of document passages. Past research showed that evidence from passages can improve retrieval results, but it also raised questions about how passages are defined, how they can be ranked efficiently, and what is their proper role in long, structured documents.
This paper reports on experiments with passages in INQUERY, a probabilistic information retrieval system. Experiments were conducted with passages based on paragraphs, and with passages based on text windows of various sizes. Experimental results are given for three homogeneous and two heterogeneous document collections, ranging in size from three megabytes to two gigabytes.
Copyright © 1994 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.